Implementation science bridges the gap between research and medical practice, investigating aspects of practice and pedagogy that make the strategies successful for future use. By introducing and training leaders, faculty, and health workforce researchers in implementation science, health professions education institutions can build capacity for evidence-based practices. The National Academies Global Forum on Innovation in Health Professional Education held a workshop series to introduce the concept of implementation science to health professional educators to consider its potential use in the classroom. Speakers provided a foundation for discussion of the role of implementation science in health professions education and provided methods for educators interested in applying these recommendations to scale. This Proceedings of a Workshop highlights the presentations and discussions that occurred at the workshop.

Improving our nation's healthcare system is a challenge which, because of its scale and complexity, requires a creative approach and input from many different fields of expertise. Lessons from engineering have the potential to improve both the efficiency and quality of healthcare delivery. The fundamental notion of a high-performing healthcare system-one that increasingly is more effective, more efficient, safer, and higher quality-is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning Health System series of workshops, the Institute of Medicine's Roundtable on Value and Science-Driven Health Care and the National Academy of Engineering, hosted a workshop on lessons from systems and operations engineering that could be applied to health care. Building on previous work done in this area the workshop convened leading engineering practitioners, health professionals, and scholars to explore how the field might learn from and apply systems engineering principles in the design of a learning healthcare system. Engineering a Learning Healthcare System: A Look at the Future: Workshop Summary focuses on current major healthcare system challenges and what the field of engineering has to offer in the redesign of the system toward a learning healthcare system.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Continuing education, continuing professional development, and high-value continuing professional development exist along a continuum. Continuing education (CE) often is associated with didactic learning methods, such as lectures and seminars, which take place in auditoriums and classrooms, and is often viewed by health professionals as merely a path to maintaining licensure and certification through the accumulation of credits. Continuing professional development (CPD), in contrast, embraces a wider array of learning formats and methods that are driven by learners. The Global Forum on Innovation in Health Professional Education hosted a workshop in April 2017 to explore the value proposition for CPD. Forum members and workshop participants gathered to learn about innovative CPD programs around the world, to consider the perspectives of those who invest in CPD, and to discuss the business case for CPD. This publication summarizes the presentations and discussions from the workshop.

First multi-year cumulation covers six years: 1965-70.